#!/usr/bin/env python3
# -*- coding: utf-8 -*-

# Copyright 2023 PickNik Inc.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
#    * Redistributions of source code must retain the above copyright
#      notice, this list of conditions and the following disclaimer.
#
#    * Redistributions in binary form must reproduce the above copyright
#      notice, this list of conditions and the following disclaimer in the
#      documentation and/or other materials provided with the distribution.
#
#    * Neither the name of the PickNik Inc. nor the names of its
#      contributors may be used to endorse or promote products derived from
#      this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
# CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
# POSSIBILITY OF SUCH DAMAGE.

from jinja2 import Template, Environment
from typeguard import typechecked

# try to import TypeCheckError from typeguard. This was breaking and replaced TypeError in 3.0.0
try:
    from typeguard import TypeCheckError
except ImportError as e:
    # otherwise, use the old TypeError
    TypeCheckError = TypeError

from typing import Any, List, Union
from yaml.parser import ParserError
from yaml.scanner import ScannerError
import os
import yaml

from generate_parameter_library_py.cpp_conversions import CPPConversions
from generate_parameter_library_py.python_conversions import PythonConversions
from generate_parameter_library_py.string_filters_cpp import (
    valid_string_cpp,
    valid_string_python,
)


# YAMLSyntaxError standardizes compiler error messages
class YAMLSyntaxError(Exception):
    def __init__(self, msg):
        self.msg = msg

    def __str__(self):
        return self.msg


# helper functions
@typechecked
def compile_error(msg: str):
    return YAMLSyntaxError('\nERROR: ' + msg)


@typechecked
def array_type(defined_type: str):
    return defined_type.__contains__('array')


@typechecked
def is_mapped_parameter(param_name: str):
    return param_name.__contains__('__map_')


@typechecked
def fixed_type_size(yaml_type: str):
    tmp = yaml_type.split('_')
    if len(tmp) < 3:
        return None
    if tmp[-2] != 'fixed' or not tmp[-1].isdigit():
        return None
    return int(tmp[-1])


@typechecked
def pascal_case(string: str):
    words = string.split('_')
    return ''.join(w.title() for w in words)


@typechecked
def int_to_integer_str(value: str):
    return value.replace('int', 'integer')


def get_dynamic_parameter_field(yaml_parameter_name: str):
    tmp = yaml_parameter_name.split('.')
    parameter_field = tmp[-1]
    return parameter_field


def get_dynamic_mapped_parameter(yaml_parameter_name: str):
    tmp = yaml_parameter_name.split('.')
    mapped_params = [
        val.replace('__map_', '') for val in tmp[:-1] if is_mapped_parameter(val)
    ]
    return mapped_params


def get_dynamic_struct_name(yaml_parameter_name: str):
    tmp = yaml_parameter_name.split('.')
    num_nested = sum([is_mapped_parameter(val) for val in tmp])
    struct_name = tmp[: -(num_nested + 1)]
    return '.'.join(struct_name)


def get_dynamic_parameter_name(yaml_parameter_name: str):
    struct_name = get_dynamic_struct_name(yaml_parameter_name)
    parameter_field = get_dynamic_parameter_field(yaml_parameter_name)
    parameter_name = [struct_name, parameter_field]
    parameter_name = '.'.join(parameter_name)
    return parameter_name


def get_dynamic_parameter_map(yaml_parameter_name: str):
    mapped_params = get_dynamic_mapped_parameter(yaml_parameter_name)
    parameter_map = [val + '_map' for val in mapped_params]
    parameter_map = '.'.join(parameter_map)
    return parameter_map


@typechecked
def is_fixed_type(yaml_type: str):
    return fixed_type_size(yaml_type) is not None


@typechecked
def get_fixed_base_type(yaml_type: str):
    tmp = yaml_type.split('_')
    return '_'.join(tmp[: -(min(2, len(tmp) - 1))])


@typechecked
def get_fixed_type(yaml_type: str):
    return get_fixed_base_type(yaml_type) + '_fixed'


class CodeGenVariableBase:
    @typechecked
    def __init__(
        self,
        language: str,
        name: str,
        param_name: str,
        defined_type: str,
        default_value: Any,
    ):
        if language == 'cpp':
            self.conversion = CPPConversions()
        elif language == 'rst' or language == 'markdown':
            # cpp is used here because it the desired style of the markdown,
            # e.g. "false" for C++ instead of "False" for Python
            self.conversion = CPPConversions()
        elif language == 'python':
            self.conversion = PythonConversions()
        else:
            raise compile_error(
                'Invalid language, only c++ and python are currently supported.'
            )

        self.name = name
        self.default_value = default_value
        self.name = name
        self.param_name = param_name
        self.defined_type, template = self.process_type(defined_type)
        self.array_type = array_type(self.defined_type)

        if self.defined_type not in self.conversion.defined_type_to_lang_type:
            allowed = ', '.join(
                key for key in self.conversion.defined_type_to_lang_type
            )
            raise compile_error(
                f'Invalid parameter type `{defined_type}` for parameter {param_name}. Allowed types are: '
                + allowed
            )
        func = self.conversion.defined_type_to_lang_type[self.defined_type]
        self.lang_type = func(self.defined_type, template)
        tmp = defined_type.split('_')
        self.defined_base_type = tmp[0]
        func = self.conversion.defined_type_to_lang_type[self.defined_base_type]
        self.lang_base_type = func(self.defined_base_type, template)
        func = self.conversion.lang_str_value_func[self.defined_type]
        try:
            self.lang_str_value = func(default_value)
        except TypeCheckError:
            raise compile_error(
                f'Parameter {param_name} has incorrect type. Expected: {defined_type}, got: {self.get_yaml_type_from_python(default_value)}'
            )

    def parameter_as_function_str(self):
        if self.defined_type not in self.conversion.yaml_type_to_as_function:
            raise compile_error('invalid yaml type: %s' % type(self.defined_type))
        return self.conversion.yaml_type_to_as_function[self.defined_type]

    def get_python_val_to_str_func(self, arg):
        return self.conversion.python_val_to_str_func[str(type(arg))]

    def get_yaml_type_from_python(self, arg):
        if isinstance(arg, list):
            return self.conversion.python_list_to_yaml_type[str(type(arg[0]))]
        else:
            return self.conversion.python_val_to_yaml_type[str(type(arg[0]))]

    def process_type(self, defined_type):
        raise NotImplemented()

    def get_parameter_type(self):
        raise NotImplemented()


class CodeGenVariable(CodeGenVariableBase):
    def process_type(self, defined_type):
        return defined_type, None

    def get_parameter_type(self):
        return int_to_integer_str(self.defined_type).upper()


class CodeGenFixedVariable(CodeGenVariableBase):
    def process_type(self, defined_type):
        size = fixed_type_size(defined_type)
        tmp = defined_type.split('_')
        yaml_base_type = tmp[0]
        func = self.conversion.defined_type_to_lang_type[yaml_base_type]
        lang_base_type = func(yaml_base_type, None)
        defined_type = get_fixed_type(defined_type)
        return defined_type, (lang_base_type, size)

    def get_parameter_type(self):
        return int_to_integer_str(get_fixed_base_type(self.defined_type)).upper()


# Each template has a corresponding class with the str filling in the template with jinja
class VariableDeclaration:
    @typechecked
    def __init__(self, code_gen_variable: CodeGenVariableBase):
        self.code_gen_variable = code_gen_variable

    def __str__(self):
        value = self.code_gen_variable.lang_str_value
        data = {
            'type': self.code_gen_variable.lang_type,
            'name': self.code_gen_variable.name,
            'value': value,
        }

        j2_template = Template(GenerateCode.templates['declare_variable'])
        code = j2_template.render(data, trim_blocks=True)
        return code


class DeclareStruct:
    @typechecked
    def __init__(self, struct_name: str, fields: List[VariableDeclaration]):
        self.struct_name = struct_name
        self.fields = fields
        self.sub_structs = []
        self.struct_instance = ''

    @typechecked
    def add_field(self, field: VariableDeclaration):
        self.fields.append(field)

    def add_sub_struct(self, sub_struct):
        self.sub_structs.append(sub_struct)

    def field_content(self):
        content = ''.join(str(x) for x in self.fields)
        return str(content)

    def sub_struct_content(self):
        content = ''.join(str(x) for x in self.sub_structs)
        return str(content)

    def __str__(self):
        sub_struct_str = ''.join(str(x) for x in self.sub_structs)
        field_str = ''.join(str(x) for x in self.fields)
        if field_str == '' and sub_struct_str == '':
            return ''

        if is_mapped_parameter(self.struct_name):
            map_val_type = pascal_case(self.struct_name)
            map_name = self.struct_name.replace('__map_', '') + '_map'
            map_name = map_name.replace('.', '_')
        else:
            map_val_type = ''
            map_name = ''
            self.struct_instance = self.struct_name

        data = {
            'struct_name': pascal_case(self.struct_name),
            'struct_instance': self.struct_instance,
            'struct_fields': str(field_str),
            'sub_structs': str(sub_struct_str),
            'map_value_type': map_val_type,
            'map_name': map_name,
        }

        j2_template = Template(GenerateCode.templates['declare_struct'])
        code = j2_template.render(data, trim_blocks=True)
        return code


class ValidationFunction:
    @typechecked
    def __init__(
        self,
        function_name: str,
        arguments: Union[None, List[Any]],
        code_gen_variable: CodeGenVariableBase,
    ):
        self.code_gen_variable = code_gen_variable
        self.function_name = function_name
        self.function_base_name = function_name.replace('<>', '')

        if arguments is not None:
            self.arguments = arguments
        else:
            self.arguments = []

    def __str__(self):
        function_name = self.code_gen_variable.conversion.get_func_signature(
            self.function_name, self.code_gen_variable.lang_base_type
        )
        open_bracket = self.code_gen_variable.conversion.open_bracket
        close_bracket = self.code_gen_variable.conversion.close_bracket

        code = function_name + '(param'
        for arg in self.arguments:
            if isinstance(arg, list):
                code += ', ' + open_bracket
                for a in arg[:-1]:
                    val_func = self.code_gen_variable.get_python_val_to_str_func(a)
                    code += val_func(a) + ', '
                val_func = self.code_gen_variable.get_python_val_to_str_func(arg[-1])
                code += val_func(arg[-1])
                code += close_bracket
            else:
                val_func = self.code_gen_variable.get_python_val_to_str_func(arg)
                code += ', ' + val_func(arg)
        code += ')'

        return code


class ParameterValidation:
    @typechecked
    def __init__(
        self,
        invalid_effect: str,
        valid_effect: str,
        validation_function: ValidationFunction,
    ):
        self.invalid_effect = invalid_effect
        self.valid_effect = valid_effect
        self.validation_function = validation_function

    def __str__(self):
        data = {
            'validation_function': str(self.validation_function),
            'valid_effect': self.valid_effect,
            'invalid_effect': self.invalid_effect,
        }

        j2_template = Template(GenerateCode.templates['parameter_validation'])
        code = j2_template.render(data, trim_blocks=True)
        return code


class UpdateParameterBase:
    @typechecked
    def __init__(self, parameter_name: str, code_gen_variable: CodeGenVariableBase):
        self.parameter_name = parameter_name
        self.parameter_as_function = code_gen_variable.parameter_as_function_str()
        self.parameter_validations = []

    @typechecked
    def add_parameter_validation(self, parameter_validation: ParameterValidation):
        self.parameter_validations.append(parameter_validation)


class UpdateParameter(UpdateParameterBase):
    def __str__(self):
        parameter_validations_str = ''.join(str(x) for x in self.parameter_validations)

        data = {
            'parameter_name': self.parameter_name,
            'parameter_validations': str(parameter_validations_str),
            'parameter_as_function': self.parameter_as_function,
        }

        j2_template = Template(GenerateCode.templates['update_parameter'])
        code = j2_template.render(data, trim_blocks=True)
        return code


class UpdateRuntimeParameter(UpdateParameterBase):
    def __str__(self):
        parameter_validations_str = ''.join(str(x) for x in self.parameter_validations)
        mapped_params = get_dynamic_mapped_parameter(self.parameter_name)
        parameter_map = get_dynamic_parameter_map(self.parameter_name)
        parameter_map = parameter_map.split('.')
        struct_name = get_dynamic_struct_name(self.parameter_name)
        parameter_field = get_dynamic_parameter_field(self.parameter_name)

        data = {
            'mapped_params': mapped_params,
            'parameter_map': parameter_map,
            'struct_name': struct_name,
            'parameter_field': parameter_field,
            'parameter_validations': str(parameter_validations_str),
            'parameter_as_function': self.parameter_as_function,
        }

        j2_template = Template(GenerateCode.templates['update_runtime_parameter'])
        code = j2_template.render(data, trim_blocks=True)
        return code


class SetStackParams:
    @typechecked
    def __init__(self, parameter_name: str):
        self.parameter_name = parameter_name

    def __str__(self):
        data = {'parameter_name': self.parameter_name}
        j2_template = Template(GenerateCode.templates['set_stack_params'])
        code = j2_template.render(data, trim_blocks=True)
        return code


class SetParameterBase:
    @typechecked
    def __init__(self, parameter_name: str, code_gen_variable: CodeGenVariableBase):
        self.parameter_name = parameter_name
        self.parameter_as_function = code_gen_variable.parameter_as_function_str()
        self.parameter_validations = []

    @typechecked
    def add_parameter_validation(self, parameter_validation: ParameterValidation):
        self.parameter_validations.append(parameter_validation)


class SetParameter(SetParameterBase):
    def __str__(self):
        parameter_validations_str = ''.join(str(x) for x in self.parameter_validations)

        data = {
            'parameter_name': self.parameter_name,
            'parameter_validations': str(parameter_validations_str),
            'parameter_as_function': self.parameter_as_function,
        }

        j2_template = Template(GenerateCode.templates['set_parameter'])
        code = j2_template.render(data, trim_blocks=True)
        return code


class SetRuntimeParameter(SetParameterBase):
    def __str__(self):
        parameter_validations_str = ''.join(str(x) for x in self.parameter_validations)
        parameter_field = get_dynamic_parameter_field(self.parameter_name)
        data = {
            'parameter_field': parameter_field,
            'parameter_validations': str(parameter_validations_str),
            'parameter_as_function': self.parameter_as_function,
        }

        j2_template = Template(GenerateCode.templates['set_runtime_parameter'])
        code = j2_template.render(data, trim_blocks=True)
        return code


class DeclareParameterBase:
    @typechecked
    def __init__(
        self,
        code_gen_variable: CodeGenVariableBase,
        parameter_description: str,
        parameter_read_only: bool,
        parameter_validations: list,
        parameter_additional_constraints: str,
    ):
        self.parameter_name = code_gen_variable.param_name
        self.parameter_description = parameter_description
        self.parameter_read_only = parameter_read_only
        self.parameter_validations = parameter_validations
        self.code_gen_variable = code_gen_variable
        self.parameter_additional_constraints = parameter_additional_constraints


class DeclareParameter(DeclareParameterBase):
    def __str__(self):
        if len(self.code_gen_variable.lang_str_value) == 0:
            self.parameter_value = ''
        else:
            self.parameter_value = self.parameter_name
        bool_to_str = self.code_gen_variable.conversion.bool_to_str

        parameter_validations = self.parameter_validations

        data = {
            'parameter_name': self.parameter_name,
            'parameter_value': self.parameter_value,
            'parameter_type': self.code_gen_variable.get_parameter_type(),
            'parameter_description': self.parameter_description,
            'parameter_read_only': bool_to_str(self.parameter_read_only),
            'parameter_additional_constraints': self.parameter_additional_constraints,
            'parameter_validations': parameter_validations,
        }

        # Create a Jinja2 environment to register the custom filter
        env = Environment()
        env.filters['valid_string_cpp'] = valid_string_cpp
        env.filters['valid_string_python'] = valid_string_python
        j2_template = env.from_string(GenerateCode.templates['declare_parameter'])
        code = j2_template.render(data, trim_blocks=True)
        return code


class DeclareRuntimeParameter(DeclareParameterBase):
    def __init__(
        self,
        code_gen_variable: CodeGenVariableBase,
        parameter_description: str,
        parameter_read_only: bool,
        parameter_validations: list,
        parameter_additional_constraints: str,
    ):
        super().__init__(
            code_gen_variable,
            parameter_description,
            parameter_read_only,
            parameter_validations,
            parameter_additional_constraints,
        )
        self.set_runtime_parameter = None
        self.param_struct_instance = 'updated_params'

    @typechecked
    def add_set_runtime_parameter(self, set_runtime_parameter: SetRuntimeParameter):
        self.set_runtime_parameter = set_runtime_parameter

    def __str__(self):
        if self.set_runtime_parameter is None:
            raise AssertionError(
                'add_set_runtime_parameter was not called before str()'
            )

        if self.code_gen_variable.default_value is None:
            default_value = ''
        else:
            default_value = 'non-empty'

        bool_to_str = self.code_gen_variable.conversion.bool_to_str
        parameter_field = get_dynamic_parameter_field(self.parameter_name)
        mapped_params = get_dynamic_mapped_parameter(self.parameter_name)
        parameter_map = get_dynamic_parameter_map(self.parameter_name)
        struct_name = get_dynamic_struct_name(self.parameter_name)
        parameter_map = parameter_map.split('.')

        data = {
            'struct_name': struct_name,
            'parameter_type': self.code_gen_variable.get_parameter_type(),
            'parameter_description': self.parameter_description,
            'parameter_read_only': bool_to_str(self.parameter_read_only),
            'parameter_as_function': self.code_gen_variable.parameter_as_function_str(),
            'parameter_additional_constraints': self.parameter_additional_constraints,
            'mapped_params': mapped_params,
            'mapped_param_underscore': [val.replace('.', '_') for val in mapped_params],
            'set_runtime_parameter': self.set_runtime_parameter,
            'parameter_map': parameter_map,
            'param_struct_instance': self.param_struct_instance,
            'parameter_field': parameter_field,
            'default_value': default_value,
            'parameter_validations': self.parameter_validations,
        }

        # Create a Jinja2 environment to register the custom filter
        env = Environment()
        env.filters['valid_string_cpp'] = valid_string_cpp
        env.filters['valid_string_python'] = valid_string_python
        j2_template = env.from_string(
            GenerateCode.templates['declare_runtime_parameter']
        )
        code = j2_template.render(data, trim_blocks=True)
        return code


class RemoveRuntimeParameter:
    @typechecked
    def __init__(self, dynamic_declare_parameter: DeclareRuntimeParameter):
        self.dynamic_declare_parameter = dynamic_declare_parameter

    def __str__(self):
        parameter_map = get_dynamic_parameter_map(
            self.dynamic_declare_parameter.parameter_name
        )
        parameter_map = parameter_map.split('.')
        struct_name = get_dynamic_struct_name(
            self.dynamic_declare_parameter.parameter_name
        )
        parameter_field = get_dynamic_parameter_field(
            self.dynamic_declare_parameter.parameter_name
        )
        mapped_params = get_dynamic_mapped_parameter(
            self.dynamic_declare_parameter.parameter_name
        )

        data = {
            'parameter_map': parameter_map,
            'mapped_params': mapped_params,
            'dynamic_declare_parameter': str(self.dynamic_declare_parameter),
            'struct_name': struct_name,
            'parameter_field': parameter_field,
        }

        j2_template = Template(GenerateCode.templates['remove_runtime_parameter'])
        code = j2_template.render(data, trim_blocks=True)
        return code


def get_all_templates(language: str):
    template_lang_path = os.path.join(
        os.path.dirname(__file__), 'jinja_templates', language
    )
    if language == 'markdown':
        template_markdown_path = os.path.join(
            os.path.dirname(__file__), 'jinja_templates', 'markdown'
        )
        template_paths = [template_lang_path, template_markdown_path]
    elif language == 'rst':
        template_rst_path = os.path.join(
            os.path.dirname(__file__), 'jinja_templates', 'rst'
        )
        template_paths = [template_lang_path, template_rst_path]
    else:
        template_paths = [template_lang_path]

    template_map = {}
    for template_path in template_paths:
        for file_name in [
            f
            for f in os.listdir(template_path)
            if os.path.isfile(os.path.join(template_path, f))
        ]:
            with open(os.path.join(template_path, file_name)) as file:
                template_map[file_name] = file.read()

    return template_map


def preprocess_inputs(language, name, value, nested_name_list):
    # define parameter name
    param_name = ''.join(x + '.' for x in nested_name_list[1:]) + name

    # required attributes
    try:
        defined_type = value['type']
    except KeyError as e:
        raise compile_error('No type defined for parameter %s' % param_name)

    # check for invalid syntax
    valid_keys = {
        'default_value',
        'description',
        'read_only',
        'additional_constraints',
        'validation',
        'type',
    }
    invalid_keys = value.keys() - valid_keys
    if len(invalid_keys) > 0:
        raise compile_error(
            "Invalid syntax in parameter %s. '%s' is not valid syntax"
            % (param_name, next(iter(invalid_keys)))
        )

    # optional attributes
    default_value = value.get('default_value', None)
    if not is_fixed_type(defined_type):
        code_gen_variable = CodeGenVariable(
            language, name, param_name, defined_type, default_value
        )
    else:
        code_gen_variable = CodeGenFixedVariable(
            language, name, param_name, defined_type, default_value
        )

    description = value.get('description', '')
    read_only = bool(value.get('read_only', False))
    validations = []
    additional_constraints = value.get('additional_constraints', '')
    validations_dict = value.get('validation', {})
    if is_fixed_type(defined_type):
        validations_dict['size_lt<>'] = fixed_type_size(defined_type) + 1

    for func_name in validations_dict:
        args = validations_dict[func_name]
        if args is not None and not isinstance(args, list):
            args = [args]
        validations.append(ValidationFunction(func_name, args, code_gen_variable))

    return (
        code_gen_variable,
        description,
        read_only,
        validations,
        additional_constraints,
    )


# class used to generate c++ code from yaml file
class GenerateCode:
    templates = None

    def __init__(self, language: str):
        if language == 'cpp':
            self.comments = '// auto-generated DO NOT EDIT'
        elif language == 'rst':
            self.comments = '.. auto-generated DO NOT EDIT'
        elif language == 'markdown':
            self.comments = '<!--- auto-generated DO NOT EDIT -->'
        elif language == 'python' or language == 'markdown':
            self.comments = '# auto-generated DO NOT EDIT'
        else:
            raise compile_error(
                'Invalid language, only cpp, markdown, rst, and python are currently supported.'
            )
        GenerateCode.templates = get_all_templates(language)
        self.language = language
        self.namespace = ''
        self.struct_tree = DeclareStruct('Params', [])
        self.stack_struct_tree = DeclareStruct('StackParams', [])
        self.update_parameters = []
        self.declare_parameters = []
        self.declare_dynamic_parameters = []
        self.update_dynamic_parameters = []
        self.update_declare_dynamic_parameter = []
        self.remove_dynamic_parameter = []
        self.declare_parameter_sets = []
        self.set_stack_params = []
        self.user_validation_file = ''

    def parse(self, yaml_file, validate_header):
        with open(yaml_file) as f:
            try:
                docs = yaml.load_all(f, Loader=yaml.Loader)
                doc = list(docs)[0]
            except ParserError as e:
                raise compile_error(str(e))
            except ScannerError as e:
                raise compile_error(str(e))

            if len(doc) != 1:
                raise compile_error(
                    'The yaml definition must only have one root element'
                )
            self.namespace = list(doc.keys())[0]
            self.user_validation_file = validate_header
            self.parse_dict(self.namespace, doc[self.namespace], [])

    def parse_params(self, name, value, nested_name_list):
        (
            code_gen_variable,
            description,
            read_only,
            validations,
            additional_constraints,
        ) = preprocess_inputs(self.language, name, value, nested_name_list)
        # skip accepted params that do not generate code
        if code_gen_variable.lang_type is None:
            return

        param_name = code_gen_variable.param_name
        update_parameter_invalid = (
            code_gen_variable.conversion.update_parameter_fail_validation()
        )
        update_parameter_valid = (
            code_gen_variable.conversion.update_parameter_pass_validation()
        )
        declare_parameter_invalid = (
            code_gen_variable.conversion.initialization_fail_validation(param_name)
        )
        declare_parameter_valid = (
            code_gen_variable.conversion.initialization_pass_validation(param_name)
        )

        # add variable to struct
        var = VariableDeclaration(code_gen_variable)

        # check if runtime parameter
        is_runtime_parameter = is_mapped_parameter(self.struct_tree.struct_name)

        if is_runtime_parameter:
            declare_parameter_set = SetRuntimeParameter(param_name, code_gen_variable)
            declare_parameter = DeclareRuntimeParameter(
                code_gen_variable,
                description,
                read_only,
                validations,
                additional_constraints,
            )
            declare_parameter.add_set_runtime_parameter(declare_parameter_set)
            update_parameter = UpdateRuntimeParameter(param_name, code_gen_variable)
        else:
            declare_parameter = DeclareParameter(
                code_gen_variable,
                description,
                read_only,
                validations,
                additional_constraints,
            )
            declare_parameter_set = SetParameter(param_name, code_gen_variable)
            update_parameter = UpdateParameter(param_name, code_gen_variable)

        # set parameter
        for validation_function in validations:
            parameter_validation = ParameterValidation(
                declare_parameter_invalid, declare_parameter_valid, validation_function
            )
            declare_parameter_set.add_parameter_validation(parameter_validation)

        # update parameter
        for validation_function in validations:
            parameter_validation = ParameterValidation(
                update_parameter_invalid, update_parameter_valid, validation_function
            )
            update_parameter.add_parameter_validation(parameter_validation)

        self.struct_tree.add_field(var)
        if not is_runtime_parameter and (
            isinstance(code_gen_variable, CodeGenFixedVariable)
            or not (
                code_gen_variable.array_type
                or code_gen_variable.defined_type == 'string'
            )
        ):
            self.stack_struct_tree.add_field(var)
            self.set_stack_params.append(SetStackParams(code_gen_variable.param_name))
        if is_runtime_parameter:
            self.declare_dynamic_parameters.append(declare_parameter)
            self.update_dynamic_parameters.append(update_parameter)
            self.update_declare_dynamic_parameter.append(declare_parameter)
            dynamic_update_parameter = RemoveRuntimeParameter(declare_parameter)
            self.remove_dynamic_parameter.append(dynamic_update_parameter)
        else:
            self.declare_parameters.append(declare_parameter)
            self.update_parameters.append(update_parameter)
            self.declare_parameter_sets.append(declare_parameter_set)

    def parse_dict(self, name, root_map, nested_name):
        if isinstance(root_map, dict) and isinstance(
            next(iter(root_map.values())), dict
        ):
            cur_struct_tree = self.struct_tree
            cur_stack_struct_tree = self.stack_struct_tree

            sub_struct = DeclareStruct(name, [])
            sub_stack_struct = DeclareStruct(name, [])
            self.struct_tree.add_sub_struct(sub_struct)
            self.struct_tree = sub_struct
            self.stack_struct_tree.add_sub_struct(sub_stack_struct)
            self.stack_struct_tree = sub_stack_struct
            for key in root_map:
                if isinstance(root_map[key], dict):
                    nested_name.append(name)
                    self.parse_dict(key, root_map[key], nested_name)
                    nested_name.pop()

            self.struct_tree = cur_struct_tree
            self.stack_struct_tree = cur_stack_struct_tree
        else:
            self.parse_params(name, root_map, nested_name)

    def __str__(self):
        data = {
            'user_validation_file': self.user_validation_file,
            'comments': self.comments,
            'namespace': self.namespace,
            'field_content': self.struct_tree.sub_structs[0].field_content(),
            'sub_struct_content': self.struct_tree.sub_structs[0].sub_struct_content(),
            'stack_field_content': self.stack_struct_tree.sub_structs[
                0
            ].field_content(),
            'stack_sub_struct_content': self.stack_struct_tree.sub_structs[
                0
            ].sub_struct_content(),
            'update_params_set': '\n'.join([str(x) for x in self.update_parameters]),
            'update_dynamic_parameters': '\n'.join(
                [str(x) for x in self.update_dynamic_parameters]
            ),
            'declare_params': '\n'.join([str(x) for x in self.declare_parameters]),
            'declare_params_set': '\n'.join(
                [str(x) for x in self.declare_parameter_sets]
            ),
            'declare_set_dynamic_params': '\n'.join(
                [str(x) for x in self.declare_dynamic_parameters]
            ),
            'update_declare_dynamic_parameters': '\n'.join(
                [str(x) for x in self.update_declare_dynamic_parameter]
            ),
            'set_stack_params': '\n'.join([str(x) for x in self.set_stack_params]),
            # TODO support removing runtime parameters
            # "remove_dynamic_parameters": "\n".join(
            #     [str(x) for x in self.remove_dynamic_parameter]
            # ),
        }

        j2_template = Template(
            GenerateCode.templates['parameter_library_header'],
            keep_trailing_newline=True,
        )
        code = j2_template.render(data, trim_blocks=True)
        return code
